Maria Girone

According to our database, Maria Girone authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization.

Eric Wulff, Juan Pablo García Amboage, Marcel Aach, Thorsteinn Eli Gislason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Rakesh Sarma, Maria Girone, Andreas Lintermann

Quantum Mach. Intell., December, 2024

2023

Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing.

Juan Pablo García Amboage, Eric Wulff, Maria Girone, Tomás F. Pena

CoRR, 2023

Scalable neural network models and terascale datasets for particle-flow reconstruction.

Joosep Pata, Eric Wulff, Farouk Mokhtar, David Southwick, Mengke Zhang, Maria Girone, Javier M. Duarte

CoRR, 2023

Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC.

Eric Wulff, Maria Girone, David Southwick, Juan Pablo García Amboage, Eduard Cuba

CoRR, 2023

2022

Hyperparameter optimization of data-driven AI models on HPC systems.

Eric Wulff, Maria Girone, Joosep Pata

CoRR, 2022

Machine Learning for Particle Flow Reconstruction at CMS.

Joosep Pata, Javier M. Duarte, Farouk Mokhtar, Eric Wulff, Jieun Yoo, Jean-Roch Vlimant, Maurizio Pierini, Maria Girone

CoRR, 2022

2021

HEPiX Benchmarking Solution for WLCG Computing Resources.

Domenico Giordano, Manfred Alef, Luca Atzori, Jean-Michel Barbet, Olga Datskova, Maria Girone, Christopher Hollowell, Martina Javurkova, Riccardo Maganza, Miguel Fontes Medeiros, Michele Michelotto, Lorenzo Rinaldi, Andrea Sciabà, Randall J. Sobie, David Southwick, Tristan Sullivan, Andrea Valassi

Comput. Softw. Big Sci., 2021

Computing Challenges for High Energy Physics.

Maria Girone

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2019

Using Big Data Technologies for HEP Analysis.

Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti

CoRR, 2019

2018

Machine Learning in High Energy Physics Community White Paper.

Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata

CoRR, 2018

Understanding the Performance of a Prototype of a WLCG Data Lake for HL-LHC.

Jaroslava Schovancová, Simone Campana, Xavier Espinal Curull, Maria Girone, Ivan Kadochnikov, Gavin John McCance

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation.

Burt Holzman, Lothar Bauerdick, Brian Bockelman, Dave Dykstra, Ian Fisk, Stuart Fuess, Gabriele Garzoglio, Maria Girone, Oliver Gutsche, Dirk Hufnagel, Hyunwoo Kim, Robert Kennedy, Nicolò Magini, David Mason, Panagiotis Spentzouris, Anthony Tiradani, Steven Timm, Eric Wayne Vaandering

Comput. Softw. Big Sci., November, 2017

CMS Analysis and Data Reduction with Apache Spark.

Oliver Gutsche, Luca Canali, Illia Cremer, Matteo Cremonesi, Peter Elmer, Ian Fisk, Maria Girone, Bo Jayatilaka, Jim Kowalkowski, Viktor Khristenko, Evangelos Motesnitsalis, Jim Pivarski, Saba Sehrish, Kacper Surdy, Alexey Svyatkovskiy

CoRR, 2017

2016

Big data analytics and the LHC.

Maria Girone

Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016